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5378679dce
All of them were found by codespell. Signed-off-by: Stefan Weil <sw@weilnetz.de>
524 lines
18 KiB
C++
524 lines
18 KiB
C++
/**********************************************************************
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* File: tess_lang_model.cpp
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* Description: Implementation of the Tesseract Language Model Class
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* Author: Ahmad Abdulkader
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* Created: 2008
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*
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* (C) Copyright 2008, Google Inc.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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*
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**********************************************************************/
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// The TessLangModel class abstracts the Tesseract language model. It inherits
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// from the LangModel class. The Tesseract language model encompasses several
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// Dawgs (words from training data, punctuation, numbers, document words).
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// On top of this Cube adds an OOD state machine
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// The class provides methods to traverse the language model in a generative
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// fashion. Given any node in the DAWG, the language model can generate a list
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// of children (or fan-out) edges
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#include <string>
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#include <vector>
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#include "char_samp.h"
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#include "cube_utils.h"
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#include "dict.h"
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#include "tesseractclass.h"
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#include "tess_lang_model.h"
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#include "tessdatamanager.h"
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#include "unicharset.h"
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namespace tesseract {
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// max fan-out (used for preallocation). Initialized here, but modified by
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// constructor
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int TessLangModel::max_edge_ = 4096;
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// Language model extra State machines
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const Dawg *TessLangModel::ood_dawg_ = reinterpret_cast<Dawg *>(DAWG_OOD);
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const Dawg *TessLangModel::number_dawg_ = reinterpret_cast<Dawg *>(DAWG_NUMBER);
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// number state machine
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const int TessLangModel::num_state_machine_[kStateCnt][kNumLiteralCnt] = {
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{0, 1, 1, NUM_TRM, NUM_TRM},
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{NUM_TRM, 1, 1, 3, 2},
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{NUM_TRM, NUM_TRM, 1, NUM_TRM, 2},
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{NUM_TRM, NUM_TRM, 3, NUM_TRM, 2},
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};
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const int TessLangModel::num_max_repeat_[kStateCnt] = {3, 32, 8, 3};
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// thresholds and penalties
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int TessLangModel::max_ood_shape_cost_ = CubeUtils::Prob2Cost(1e-4);
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TessLangModel::TessLangModel(const string &lm_params,
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const string &data_file_path,
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bool load_system_dawg,
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TessdataManager *tessdata_manager,
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CubeRecoContext *cntxt) {
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cntxt_ = cntxt;
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has_case_ = cntxt_->HasCase();
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// Load the rest of the language model elements from file
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LoadLangModelElements(lm_params);
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// Load word_dawgs_ if needed.
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if (tessdata_manager->SeekToStart(TESSDATA_CUBE_UNICHARSET)) {
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word_dawgs_ = new DawgVector();
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if (load_system_dawg &&
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tessdata_manager->SeekToStart(TESSDATA_CUBE_SYSTEM_DAWG)) {
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// The last parameter to the Dawg constructor (the debug level) is set to
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// false, until Cube has a way to express its preferred debug level.
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*word_dawgs_ += new SquishedDawg(tessdata_manager->GetDataFilePtr(),
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DAWG_TYPE_WORD,
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cntxt_->Lang().c_str(),
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SYSTEM_DAWG_PERM, false);
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}
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} else {
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word_dawgs_ = NULL;
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}
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}
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// Cleanup an edge array
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void TessLangModel::FreeEdges(int edge_cnt, LangModEdge **edge_array) {
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if (edge_array != NULL) {
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for (int edge_idx = 0; edge_idx < edge_cnt; edge_idx++) {
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if (edge_array[edge_idx] != NULL) {
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delete edge_array[edge_idx];
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}
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}
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delete []edge_array;
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}
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}
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// Determines if a sequence of 32-bit chars is valid in this language model
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// starting from the specified edge. If the eow_flag is ON, also checks for
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// a valid EndOfWord. If final_edge is not NULL, returns a pointer to the last
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// edge
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bool TessLangModel::IsValidSequence(LangModEdge *edge,
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const char_32 *sequence,
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bool eow_flag,
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LangModEdge **final_edge) {
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// get the edges emerging from this edge
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int edge_cnt = 0;
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LangModEdge **edge_array = GetEdges(NULL, edge, &edge_cnt);
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// find the 1st char in the sequence in the children
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for (int edge_idx = 0; edge_idx < edge_cnt; edge_idx++) {
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// found a match
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if (sequence[0] == edge_array[edge_idx]->EdgeString()[0]) {
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// if this is the last char
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if (sequence[1] == 0) {
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// succeed if we are in prefix mode or this is a terminal edge
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if (eow_flag == false || edge_array[edge_idx]->IsEOW()) {
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if (final_edge != NULL) {
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(*final_edge) = edge_array[edge_idx];
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edge_array[edge_idx] = NULL;
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}
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FreeEdges(edge_cnt, edge_array);
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return true;
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}
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} else {
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// not the last char continue checking
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if (IsValidSequence(edge_array[edge_idx], sequence + 1, eow_flag,
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final_edge) == true) {
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FreeEdges(edge_cnt, edge_array);
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return true;
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}
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}
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}
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}
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FreeEdges(edge_cnt, edge_array);
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return false;
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}
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// Determines if a sequence of 32-bit chars is valid in this language model
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// starting from the root. If the eow_flag is ON, also checks for
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// a valid EndOfWord. If final_edge is not NULL, returns a pointer to the last
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// edge
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bool TessLangModel::IsValidSequence(const char_32 *sequence, bool eow_flag,
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LangModEdge **final_edge) {
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if (final_edge != NULL) {
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(*final_edge) = NULL;
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}
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return IsValidSequence(NULL, sequence, eow_flag, final_edge);
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}
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bool TessLangModel::IsLeadingPunc(const char_32 ch) {
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return lead_punc_.find(ch) != string::npos;
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}
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bool TessLangModel::IsTrailingPunc(const char_32 ch) {
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return trail_punc_.find(ch) != string::npos;
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}
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bool TessLangModel::IsDigit(const char_32 ch) {
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return digits_.find(ch) != string::npos;
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}
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// The general fan-out generation function. Returns the list of edges
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// fanning-out of the specified edge and their count. If an AltList is
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// specified, only the class-ids with a minimum cost are considered
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LangModEdge ** TessLangModel::GetEdges(CharAltList *alt_list,
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LangModEdge *lang_mod_edge,
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int *edge_cnt) {
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TessLangModEdge *tess_lm_edge =
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reinterpret_cast<TessLangModEdge *>(lang_mod_edge);
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LangModEdge **edge_array = NULL;
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(*edge_cnt) = 0;
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// if we are starting from the root, we'll instantiate every DAWG
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// and get the all the edges that emerge from the root
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if (tess_lm_edge == NULL) {
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// get DAWG count from Tesseract
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int dawg_cnt = NumDawgs();
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// preallocate the edge buffer
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(*edge_cnt) = dawg_cnt * max_edge_;
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edge_array = new LangModEdge *[(*edge_cnt)];
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if (edge_array == NULL) {
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return NULL;
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}
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for (int dawg_idx = (*edge_cnt) = 0; dawg_idx < dawg_cnt; dawg_idx++) {
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const Dawg *curr_dawg = GetDawg(dawg_idx);
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// Only look through word Dawgs (since there is a special way of
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// handling numbers and punctuation).
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if (curr_dawg->type() == DAWG_TYPE_WORD) {
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(*edge_cnt) += FanOut(alt_list, curr_dawg, 0, 0, NULL, true,
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edge_array + (*edge_cnt));
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}
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} // dawg
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(*edge_cnt) += FanOut(alt_list, number_dawg_, 0, 0, NULL, true,
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edge_array + (*edge_cnt));
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// OOD: it is intentionally not added to the list to make sure it comes
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// at the end
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(*edge_cnt) += FanOut(alt_list, ood_dawg_, 0, 0, NULL, true,
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edge_array + (*edge_cnt));
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// set the root flag for all root edges
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for (int edge_idx = 0; edge_idx < (*edge_cnt); edge_idx++) {
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edge_array[edge_idx]->SetRoot(true);
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}
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} else { // not starting at the root
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// preallocate the edge buffer
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(*edge_cnt) = max_edge_;
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// allocate memory for edges
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edge_array = new LangModEdge *[(*edge_cnt)];
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if (edge_array == NULL) {
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return NULL;
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}
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// get the FanOut edges from the root of each dawg
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(*edge_cnt) = FanOut(alt_list,
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tess_lm_edge->GetDawg(),
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tess_lm_edge->EndEdge(), tess_lm_edge->EdgeMask(),
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tess_lm_edge->EdgeString(), false, edge_array);
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}
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return edge_array;
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}
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// generate edges from an NULL terminated string
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// (used for punctuation, operators and digits)
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int TessLangModel::Edges(const char *strng, const Dawg *dawg,
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EDGE_REF edge_ref, EDGE_REF edge_mask,
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LangModEdge **edge_array) {
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int edge_idx,
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edge_cnt = 0;
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for (edge_idx = 0; strng[edge_idx] != 0; edge_idx++) {
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int class_id = cntxt_->CharacterSet()->ClassID((char_32)strng[edge_idx]);
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if (class_id != INVALID_UNICHAR_ID) {
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// create an edge object
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edge_array[edge_cnt] = new TessLangModEdge(cntxt_, dawg, edge_ref,
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class_id);
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if (edge_array[edge_cnt] == NULL) {
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return 0;
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}
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reinterpret_cast<TessLangModEdge *>(edge_array[edge_cnt])->
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SetEdgeMask(edge_mask);
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edge_cnt++;
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}
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}
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return edge_cnt;
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}
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// generate OOD edges
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int TessLangModel::OODEdges(CharAltList *alt_list, EDGE_REF edge_ref,
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EDGE_REF edge_ref_mask, LangModEdge **edge_array) {
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int class_cnt = cntxt_->CharacterSet()->ClassCount();
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int edge_cnt = 0;
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for (int class_id = 0; class_id < class_cnt; class_id++) {
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// produce an OOD edge only if the cost of the char is low enough
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if ((alt_list == NULL ||
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alt_list->ClassCost(class_id) <= max_ood_shape_cost_)) {
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// create an edge object
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edge_array[edge_cnt] = new TessLangModEdge(cntxt_, class_id);
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if (edge_array[edge_cnt] == NULL) {
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return 0;
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}
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edge_cnt++;
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}
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}
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return edge_cnt;
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}
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// computes and returns the edges that fan out of an edge ref
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int TessLangModel::FanOut(CharAltList *alt_list, const Dawg *dawg,
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EDGE_REF edge_ref, EDGE_REF edge_mask,
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const char_32 *str, bool root_flag,
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LangModEdge **edge_array) {
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int edge_cnt = 0;
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NODE_REF next_node = NO_EDGE;
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// OOD
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if (dawg == reinterpret_cast<Dawg *>(DAWG_OOD)) {
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if (ood_enabled_ == true) {
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return OODEdges(alt_list, edge_ref, edge_mask, edge_array);
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} else {
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return 0;
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}
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} else if (dawg == reinterpret_cast<Dawg *>(DAWG_NUMBER)) {
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// Number
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if (numeric_enabled_ == true) {
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return NumberEdges(edge_ref, edge_array);
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} else {
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return 0;
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}
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} else if (IsTrailingPuncEdge(edge_mask)) {
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// a TRAILING PUNC MASK, generate more trailing punctuation and return
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if (punc_enabled_ == true) {
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EDGE_REF trail_cnt = TrailingPuncCount(edge_mask);
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return Edges(trail_punc_.c_str(), dawg, edge_ref,
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TrailingPuncEdgeMask(trail_cnt + 1), edge_array);
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} else {
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return 0;
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}
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} else if (root_flag == true || edge_ref == 0) {
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// Root, generate leading punctuation and continue
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if (root_flag) {
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if (punc_enabled_ == true) {
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edge_cnt += Edges(lead_punc_.c_str(), dawg, 0, LEAD_PUNC_EDGE_REF_MASK,
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edge_array);
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}
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}
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next_node = 0;
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} else {
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// a node in the main trie
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bool eow_flag = (dawg->end_of_word(edge_ref) != 0);
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// for EOW
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if (eow_flag == true) {
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// generate trailing punctuation
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if (punc_enabled_ == true) {
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edge_cnt += Edges(trail_punc_.c_str(), dawg, edge_ref,
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TrailingPuncEdgeMask((EDGE_REF)1), edge_array);
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// generate a hyphen and go back to the root
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edge_cnt += Edges("-/", dawg, 0, 0, edge_array + edge_cnt);
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}
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}
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// advance node
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next_node = dawg->next_node(edge_ref);
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if (next_node == 0 || next_node == NO_EDGE) {
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return edge_cnt;
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}
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}
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// now get all the emerging edges if word list is enabled
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if (word_list_enabled_ == true && next_node != NO_EDGE) {
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// create child edges
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int child_edge_cnt =
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TessLangModEdge::CreateChildren(cntxt_, dawg, next_node,
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edge_array + edge_cnt);
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int strt_cnt = edge_cnt;
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// set the edge mask
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for (int child = 0; child < child_edge_cnt; child++) {
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reinterpret_cast<TessLangModEdge *>(edge_array[edge_cnt++])->
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SetEdgeMask(edge_mask);
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}
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// if we are at the root, create upper case forms of these edges if possible
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if (root_flag == true) {
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for (int child = 0; child < child_edge_cnt; child++) {
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TessLangModEdge *child_edge =
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reinterpret_cast<TessLangModEdge *>(edge_array[strt_cnt + child]);
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if (has_case_ == true) {
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const char_32 *edge_str = child_edge->EdgeString();
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if (edge_str != NULL && islower(edge_str[0]) != 0 &&
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edge_str[1] == 0) {
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int class_id =
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cntxt_->CharacterSet()->ClassID(toupper(edge_str[0]));
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if (class_id != INVALID_UNICHAR_ID) {
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// generate an upper case edge for lower case chars
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edge_array[edge_cnt] = new TessLangModEdge(cntxt_, dawg,
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child_edge->StartEdge(), child_edge->EndEdge(), class_id);
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if (edge_array[edge_cnt] != NULL) {
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reinterpret_cast<TessLangModEdge *>(edge_array[edge_cnt])->
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SetEdgeMask(edge_mask);
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edge_cnt++;
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}
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}
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}
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}
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}
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}
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}
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return edge_cnt;
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}
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// Generate the edges fanning-out from an edge in the number state machine
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int TessLangModel::NumberEdges(EDGE_REF edge_ref, LangModEdge **edge_array) {
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EDGE_REF new_state,
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state;
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inT64 repeat_cnt,
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new_repeat_cnt;
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state = ((edge_ref & NUMBER_STATE_MASK) >> NUMBER_STATE_SHIFT);
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repeat_cnt = ((edge_ref & NUMBER_REPEAT_MASK) >> NUMBER_REPEAT_SHIFT);
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if (state < 0 || state >= kStateCnt) {
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return 0;
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}
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// go through all valid transitions from the state
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int edge_cnt = 0;
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EDGE_REF new_edge_ref;
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for (int lit = 0; lit < kNumLiteralCnt; lit++) {
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// move to the new state
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new_state = num_state_machine_[state][lit];
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if (new_state == NUM_TRM) {
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continue;
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}
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if (new_state == state) {
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new_repeat_cnt = repeat_cnt + 1;
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} else {
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new_repeat_cnt = 1;
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}
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// not allowed to repeat beyond this
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if (new_repeat_cnt > num_max_repeat_[state]) {
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continue;
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}
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new_edge_ref = (new_state << NUMBER_STATE_SHIFT) |
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(lit << NUMBER_LITERAL_SHIFT) |
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(new_repeat_cnt << NUMBER_REPEAT_SHIFT);
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edge_cnt += Edges(literal_str_[lit]->c_str(), number_dawg_,
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new_edge_ref, 0, edge_array + edge_cnt);
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}
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return edge_cnt;
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}
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// Loads Language model elements from contents of the <lang>.cube.lm file
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bool TessLangModel::LoadLangModelElements(const string &lm_params) {
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bool success = true;
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// split into lines, each corresponding to a token type below
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vector<string> str_vec;
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CubeUtils::SplitStringUsing(lm_params, "\r\n", &str_vec);
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for (int entry = 0; entry < str_vec.size(); entry++) {
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vector<string> tokens;
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// should be only two tokens: type and value
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CubeUtils::SplitStringUsing(str_vec[entry], "=", &tokens);
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if (tokens.size() != 2)
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success = false;
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if (tokens[0] == "LeadPunc") {
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lead_punc_ = tokens[1];
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} else if (tokens[0] == "TrailPunc") {
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trail_punc_ = tokens[1];
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} else if (tokens[0] == "NumLeadPunc") {
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num_lead_punc_ = tokens[1];
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} else if (tokens[0] == "NumTrailPunc") {
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num_trail_punc_ = tokens[1];
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} else if (tokens[0] == "Operators") {
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operators_ = tokens[1];
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} else if (tokens[0] == "Digits") {
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digits_ = tokens[1];
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} else if (tokens[0] == "Alphas") {
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alphas_ = tokens[1];
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} else {
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success = false;
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}
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}
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RemoveInvalidCharacters(&num_lead_punc_);
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RemoveInvalidCharacters(&num_trail_punc_);
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RemoveInvalidCharacters(&digits_);
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RemoveInvalidCharacters(&operators_);
|
|
RemoveInvalidCharacters(&alphas_);
|
|
|
|
// form the array of literal strings needed for number state machine
|
|
// It is essential that the literal strings go in the order below
|
|
literal_str_[0] = &num_lead_punc_;
|
|
literal_str_[1] = &num_trail_punc_;
|
|
literal_str_[2] = &digits_;
|
|
literal_str_[3] = &operators_;
|
|
literal_str_[4] = &alphas_;
|
|
|
|
return success;
|
|
}
|
|
|
|
void TessLangModel::RemoveInvalidCharacters(string *lm_str) {
|
|
CharSet *char_set = cntxt_->CharacterSet();
|
|
tesseract::string_32 lm_str32;
|
|
CubeUtils::UTF8ToUTF32(lm_str->c_str(), &lm_str32);
|
|
|
|
int len = CubeUtils::StrLen(lm_str32.c_str());
|
|
char_32 *clean_str32 = new char_32[len + 1];
|
|
if (!clean_str32)
|
|
return;
|
|
int clean_len = 0;
|
|
for (int i = 0; i < len; ++i) {
|
|
int class_id = char_set->ClassID((char_32)lm_str32[i]);
|
|
if (class_id != INVALID_UNICHAR_ID) {
|
|
clean_str32[clean_len] = lm_str32[i];
|
|
++clean_len;
|
|
}
|
|
}
|
|
clean_str32[clean_len] = 0;
|
|
if (clean_len < len) {
|
|
lm_str->clear();
|
|
CubeUtils::UTF32ToUTF8(clean_str32, lm_str);
|
|
}
|
|
delete [] clean_str32;
|
|
}
|
|
|
|
int TessLangModel::NumDawgs() const {
|
|
return (word_dawgs_ != NULL) ?
|
|
word_dawgs_->size() : cntxt_->TesseractObject()->getDict().NumDawgs();
|
|
}
|
|
|
|
// Returns the dawgs with the given index from either the dawgs
|
|
// stored by the Tesseract object, or the word_dawgs_.
|
|
const Dawg *TessLangModel::GetDawg(int index) const {
|
|
if (word_dawgs_ != NULL) {
|
|
ASSERT_HOST(index < word_dawgs_->size());
|
|
return (*word_dawgs_)[index];
|
|
} else {
|
|
ASSERT_HOST(index < cntxt_->TesseractObject()->getDict().NumDawgs());
|
|
return cntxt_->TesseractObject()->getDict().GetDawg(index);
|
|
}
|
|
}
|
|
}
|